REMI AI: Nutrition Companion App for Clinic Patients
Patients leaving clinic checkups with a list of medical recommendations and lab results often had no clear, practical way to turn that information into daily meals, leading to poor adherence and high drop-off before their next checkup.

Patients leaving clinic checkups with a list of medical recommendations and lab results often had no clear, practical way to turn that information into daily meals, leading to poor adherence and high drop-off before their next checkup.
Built for FunMedDev, a Belgium-based wellness clinic, to support patients between medical checkups and strengthen their engagement with prescribed nutrition programs. More information
- Patients struggled to translate lab results and doctor recommendations into daily meal choices
- Nutrition plans lacked structured follow-up, causing high drop-off before the next checkup
- The clinic had limited staff time to support patients between visits
Design an AI system that securely reads each patient's official clinic documents, generates a plan tailored to their profile, and gives clinic staff a simple way to confirm accuracy before anything reaches the patient.
REMI reads a patient's genetic and medical test results and turns them into a tailored weekly meal and supplement plan, so guidance is grounded in each person's actual health profile instead of generic advice.
Rather than jumping straight to an "ideal" diet, plans evolve step by step over about three months, adjusting each week based on the patient's own feedback so changes stay realistic and sustainable.
Before any plan reaches a patient, clinic staff review and confirm the AI's reading of the medical document through a simple approval screen, keeping the clinic in control of accuracy and quality.
Results & Impact
Reached 95–98% accuracy in automatically reading and interpreting complex medical documents; Delivered a working, clinic-tested pilot version ready for real patients; Built a progressive plan engine that adapts patient habits gradually over a multi-month program; Set up an ongoing support process so the clinic can keep refining the tool before wider rollout
Technologies used
- Lovable
- React
- Supabase
- Python/FastAPI
- Neo4j
- Brevo

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